Enterprise GenAI Infrastructure Engineer — Multi-Cloud Platform

Scale AI; San Francisco, New York (CA, NY); On-site; USD 179,000 - 224,000; Full time

Benefits offered by this job

Health, dental and vision coverage

Retirement benefits

Learning and development stipend

Generous PTO

Job summary

Scale AI seeks an Infrastructure Software Engineer, Enterprise GenAI, to architect multi-cloud platforms and implement integrations across customer data environments. You will collaborate with platform, product teams and customers to deliver scalable infrastructure and run experiments with high velocity and quality.

You will work through the full product lifecycle, learn new technologies quickly, and leverage Kubernetes and major cloud providers (AWS/Azure/GCP) to support diverse, regulated

Qualifications

• 4+ years of full-time engineering experience.
• Experience scaling products at hyper growth startups.
• Experience tinkering with or productizing LLMs, vector databases, and AI technologies.
• Experience with Kubernetes.
• Experience with major cloud providers (AWS, Azure, GCP).
• Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences.

Responsibilities

• Architect multi-cloud systems and abstractions for Scale GP to run on cloud providers.
• Implement integrations between Scale AI's platform and customer data environments (cloud, data warehouses, internal APIs).
• Collaborate with platform, product teams and customers to develop scalable infrastructure.
• Deliver experiments at high velocity and quality to engage customers.
• Work across the product lifecycle from concept to production.
• Be able to multi-task and learn new technologies quickly.

Skills

Communication skills

Cloud architecture

Tools

Kubernetes

AWS

Azure

GCP

LLMs

Vector databases

Job description

Scale AI seeks an Infrastructure Software Engineer, Enterprise GenAI, to architect multi-cloud platforms and implement integrations across customer data environments. You will collaborate with platform, product teams and customers to deliver scalable infrastructure and run experiments with high velocity and quality.

You will work through the full product lifecycle, learn new technologies quickly, and leverage Kubernetes and major cloud providers (AWS/Azure/GCP) to support diverse, regulated